E-waste Samples Research Articles

Smartphone-Assisted and Optical Quantification of Copper and Glucose Using Palm Wine-Tailored Carbon Dots and Their Multiple Logic Gate Application.

In this work, potassium, sulfur, nitrogen, and chlorine self-doped carbon dots (CDs) were hydrothermally synthesized using palm wine as a carbon source. The palm wine-derived CDs (PW-CDs) are amorphous in nature and displayed an average particle size of 4.19 ± 0.89 nm. The as-synthesized CDs are used to fabricate a photoluminescent sensing probe to simultaneously detect Cu2+ and glucose via the "Turn ON-OFF-ON" mechanism. The PL quenching mechanism of PW-CDs enables the selective and sensitive detection of Cu2+ ions with a detection limit (LOD) of 0.8 ppb (4.7 nM). The sensing probe quantified Cu2+ in tap water, drinking water, and e-waste samples to prove its viability. Using CDs to quantify copper in e-waste leachate samples is a novel approach as no prior instances of such application have been reported. The system's performance is considered to be highly reproducible due to the relative standard deviation being <6.64%, along with excellent recoveries within the range of 93.24-109.86%. The quenched PL can be recovered by introducing glucose into the PW-CD + Cu2+ system; this strategy is employed to quantify glucose with a LOD of 0.11 ppm (0.61 μM). The feasibility of this sensor was confirmed by the determination of glucose in actual human plasma specimens of diabetic patients. It is to be noted that these samples were neither diluted nor spiked with glucose. The developed PW-CD + Cu2+ sensing system yields satisfactory recoveries of 93.45-107.37%. This probe was also incorporated into a smartphone-based sensing platform to detect Cu2+ and glucose with desirable recoveries. The proposed smartphone-based sensing platform is flexible, reliable, and accurate, making it suitable for resource-constrained areas. Furthermore, based on the effect of Cu2+ ions and glucose on the PL response and absorbance spectra of PW-CDs, four logic gates (YES, IMPLICATION, NOT, and OR) were designed, and PW-CDs were also used for cell imaging applications.

Electronic waste analysis using laser-induced breakdown spectroscopy (LIBS) and X-ray fluorescence (XRF): Critical evaluation of data fusion for the determination of Al, Cu and Fe

BackgroundElectronic waste (e-waste) proliferation and its implications underscore the imperative for advanced analytical methods to mitigate its environmental impact. It is estimated that e-waste production stands at a staggering 20–50 million tons yearly, of which merely 20–25% undergo formal recycling. The e-waste samples evaluated contain computers, laptops, smartphones, and tablets. ResultsForty-one samples were processed, involving the disassembly and separation of components. Subsequently, two analytical techniques, laser-induced breakdown spectroscopy (LIBS) and energy dispersive X-ray fluorescence (ED-XRF), were applied to quantify aluminum (Al), copper (Cu), and iron (Fe) in the e-waste samples. The samples were then analyzed after acid mineralization with 50% v v−1 aqua regia in a digester block and finally by ICP OES. A solid residue composed of Si and Ti was observed after the digestion of the samples. Multivariate calibration strategies such as partial least-squares regression (PLS), principal component regression (PCR), maximum likelihood principal component regression (MLPCR), and error covariance penalized regression (ECPR) were used for calibration. Finally, the figures of merit were calculated to verify the most suitable models. The results revealed robust models with notable sensitivity, varying from 8.98 to 35.04 Signal (a.u.)(% w w−1) −1, low Limits of Detection (LoD) within the range of 0.001–0.2 % w w−1, and remarkable relative errors ranging from 2% to 33%, particularly for Cu and Fe. SignificanceNotably, the models for Al faced inherent challenges, thus highlighting the complexities associated with its quantification in e-waste samples. In conclusion, this research represents an important step toward a more sustainable and efficient future for electronic waste recycling, signifying its relevance to global environmental welfare and resource conservation.

From E-Waste to Hydrogen Evolution: Harnessing Recycled Precious Metals for Catalytic Efficiency in Hydrogen Evolution Reactions.

Against the background of escalating global electronic waste (e-waste) and its rich reservoir of elements, this research addresses the exploitation of precious metals from discarded CPUs for potential applications in hydrogen production. The study systematically explores the influence of varied CPU sample preparation techniques on the formation of an electrode's catalytic layer and the kinetics of the hydrogen evolution reaction (HER) in alkaline media. Four distinct e-waste samples, each subjected to different preparation protocols, were employed as sources in electrodeposition baths. The electrocatalytic efficiency of the resulting electrodeposited cathodes was evaluated, with the AR-CPU-1.4M electrode demonstrating superior properties. Morphological insights from SEM, coupled with elemental data from EDS and ICP analyses, revealed the intricate relationship between sample preparation, electrode characteristics, and HER kinetics. Notably, gold deposits and a prominent copper concentration emerged as defining attributes of our findings. This research underscores the potential of e-waste-derived metals, particularly in hydrogen production, providing an avenue for sustainable metal recovery and utilization.

Prediction of Thermogravimetric Data in Bromine Captured from Brominated Flame Retardants (BFRs) in e-Waste Treatment Using Machine Learning Approaches.

The principal objective in the treatment of e-waste is to capture the bromine released from the brominated flame retardants (BFRs) added to the polymeric constituents of printed circuits boards (PCBs) and to produce pure bromine-free hydrocarbons. Metal oxides such as calcium hydroxide (Ca(OH)2) have been shown to exhibit high debromination capacity when added to BFRs in e-waste and capturing the released HBr. Tetrabromobisphenol A (TBBA) is the most commonly utilized model compound as a representative for BFRs. Our coauthors had previously studied the pyrolytic and oxidative decomposition of the TBBA:Ca(OH)2 mixture at four different heating rates, 5, 10, 15, and 20 °C/min, using a thermogravimetric (TGA) analyzer and reported the mass loss data between room temperature and 800 °C. However, in the current work, we applied different machine learning (ML) and chemometric techniques involving regression models to predict the TGA data at different heating rates. The motivation of this work was to reproduce the TGA data with high accuracy in order to eliminate the physical need of the instrument itself, so that this could save significant experimental time involving sample preparation and subsequently minimizing human errors. The novelty of our work lies in the application of ML techniques to predict the TGA data from e-waste pyrolysis since this has not been conducted previously. The significance of our work lies in the fact that e-waste is ever increasing, and predicting the mass loss curves faster will enable better compositional analysis of the e-waste samples in the industry. Three ML models were employed in our work, namely Linear, random forest (RF), and support vector regression (SVR), out of which the RF method exhibited the highest coefficient of determination (R2) of 0.999 and least error of prediction as estimated by the root mean squared error (RMSEP) at all 4 heating rates for both pyrolysis and oxidation conditions. An 80:20 split was used for calibration and validation data sets. Furthermore, for showing versatility and robustness of the best-predicting RF model, it was also trained using all the data points in the lower heating rates of 5 and 10 °C/min and predicted on all the data points for the higher heating rates of 15 and 20 °C/min to again obtain a high R2 of 0.999. The excellent performance of the RF model showed that ML techniques can be used to eliminate the physical use of TGA equipment, thus saving experimental time and potential human errors, and can further be applied in other real-time e-waste recycling scenarios.

Electronic waste bank model as a solution for implementing circular economy: Case study DKI Jakarta-Indonesia

Indonesia currently does not use a systematic method of managing electronic waste (e-waste). The informal sector handles e-waste mostly without regard to the environment or public health. Establishing a national collection system favored by the community is the most challenging problem. Even though the waste bank system (WB) does not collect e-waste, it can provide a solution because it is well known as a recycling program by Indonesian citizens. This study proposes a WB system model for e-waste collection to interact with other stakeholders in DKI Jakarta, Field research and interviews with several essential informants were conducted. E-waste samples were identified to determine the composition of the current management and proposed an e-waste bank model as a sustainable circular economy implementation. E-waste has enormous potential for recycling, but it also has hazardous materials if not recycled properly. The government must make national regulations on e-waste management and develop cooperation between local governments, industry/producers, recycling industries, and the community to build a WB-based e-waste collection system.

Gold recovery at ultra-high purity from electronic waste using selective polymeric film

We propose a sustainable Au recovery technology from e-waste with high purity and probe recyclability, which is established on a selective coordination-based colorimetric probe immobilized on the surface of a quartz substrate to form a thin polymeric film (F1). In particular, the N,N'-dimethylacrylamide (DMA), (E)-2-(methyl(4-(phenyldiazenyl)phenyl)amino)ethyl acrylate (M1), and N-(4-benzoylphenyl)acrylamide (BPAm) are copolymerized by free radical copolymerization to yield the polymeric probe [p(DMA-co-M1-co-BPAm)] (designated as P1). M1 contains a selective 1:1 Au binding site. P1 exhibited sensitive and selective colorimetric responses toward Au(III) in aqueous media with naked-eye detectability via a color change from yellow to brick-red. The immobilized film, F1, was able to determine the presence of Au(III) in various e-waste samples via the color changes, which is in turn used to decide if further Au recovery is lucrative. Thereafter, trace amounts of Au at ultra-high purity (23.97 K) with Au(III) extraction capacity up to 0.40 g Au(III)/g F1 are rapidly recovered (10 min) even in the presence of an approximately 100-fold excess of other metal ions (copper and nickel) commonly found in e-waste without the use of harsh acids, bases, or toxic methods. Au(III)-liberated F1 can be used to further recover Au(III), and this process was repeated for multiple cycles.

Design and optimization of sensitive analytical spectrophotometric method for micro determination of copper(II) from e-waste by using of novel chromogenic extractant

In this article, a novel spectrophotometric reagent 1-(pyrimidine)-4, 4, 6-trimethyl-1,4-dihydropyrimidine-2-thiol [PTPT] has been synthesized for liquid–liquid extraction and spectrophotometric determination of copper(II). The as-synthesized ligand has been selectively forms stable complex with copper(II) in basic medium (pH 9.0), in presence of mild pyridine the extraction and color stability has found to be synergistically enhanced. The equilibrium time is 10 min for effective extraction of copper(II) from organic phase and absorbance of colored organic complex in carbon tetrachloride is measured spectrophotometrically at λmax 615 nm against reagent blank. The ternary complex of Cu(II)-PTPT-Py having molar ratio 1:2:2 (M:L:Py) showed green colored complex. The main factors influencing the achievement of synergistic extraction; i.e. pH, ligand concentration, type and volume of the dispersive organic solvents, equilibrium time, synergent concentration and foreign ions were investigated.The Beer’s law was obeyed in the concentration range 1–20 μg mL−1 of copper(II) and optimum concentration range is evaluated by Ringbom’s plot and it is found that 2.5–25 μg mL−1. In presence of pyridine, molar absorptivity and Sandell’s sensitivity of copper(II)-PTPT complex is 2.80 × 103 L mol−1 cm−1 and 0.226 μg cm−2, respectively and in absence of pyridine, molar absorptivity and Sandell’s sensitivity of copper(II)-PTPT complex is 1.35 × 103 L mol−1 cm−1 and 0.469 μg cm−2, respectively. The stoichiometry of the copper(II)-PTPT-pyridine complex was calculated by slope ratio method, mole ratio method and Job’s method of continuous variation and it has been found as 1:2:2. No significant effects of potentially interfering species i.e. cations and anions were observed. The optimized method was applied for the determination of copper(II) in binary, synthetic mixtures and successfully applied for determination of copper(II) from e-waste samples. The standard deviation (R.S.D.) is 0.11% for n = 5 repetition. The reliability of the developed method is confirmed by comparison of experimental results with atomic absorption spectrophotometer.

Study of plastics elimination in bioleaching of electronic waste using Acidithiobacillus ferrooxidans

Polystyrene, acrylonitrile butadiene styrene, and polypropylene are the main polymers in E-waste, existing about 31%, 16%, and 13%, respectively. In this research, the effects of the elimination of low-density materials (such as polymers and plastics) were studied using the shaking table method. Bioleaching of Cu and Ni against the original sample (Sample #1) and pre-treated sample without low-density materials (Sample #2) was compared. The amount of bioleached metals and growth characteristics (including pH, Eh, bacterial count) was investigated within 25 days. The analysis of Sample #1 showed that at pulp density of 15 g/l, 94% and 79% of Cu and Ni were recovered maximally, respectively, on 14th day. By using Sample #2, the recovery of Cu and Ni decreased to 87% and 74%, respectively, on 6th day. Chemical characteristics (including recovery, X-ray diffraction, X-ray fluorescence, Fourier transform infrared spectroscopy, and field emission scanning electron microscope) before and after bioleaching of both E-waste samples confirmed that bioleaching was quite effective. This paper proved the great potential of the bio-hydrometallurgical route to recover heavy metals from electronic wastes, in which recovery of Cu and Ni is higher in the presence of low-density materials.

Content evaluation of different waste PCBs to enhance basic metals recycling

This research aims to expand the body of information that researchers require before starting electronic waste (E-waste) recovery experiments. With this purpose, the basic metal contents, alkalinity, polymer components, iron magnetic separation, metal recovery priority and economic values of different types of waste printed circuit boards (PCBs) were investigated. The selected wastes were computer PCBs (CPCBs), CPCBs with wires, mobile phone PCBs (MPPCBs), television PCBs (TVPCBs), fax machine PCBs (FPCBs), copy machine PCBs (COPCBs) and central processing units (CPUs). These E-wastes were prepared in the three fraction sizes of F1<1 mm, 1 < F2<3 mm, and 3 < F3<8 mm to evaluate the metal contents of different PCB fractions. The plastics of some samples were separated through the shaking table method. Magnetic separation of the iron particles attributed the highest amounts of separated iron to the CPCBs (84%) and MPPCBs (76%). Among the investigated E-wastes, the TVPCBs and CPCBs had the highest percentages of plastic (68 and 57%, respectively). Fourier transform infrared (FTIR) spectroscopy declared the presence of polyphenylene oxide (PPO) and polycarbonate (PC) in all evaluated PCBs. The highest quantities of Cu, Ag, Ni and Ti corresponded to the F1 fraction for all E-waste samples while the economic values of the E-wastes were as follows: CPU > FPCBs > MPPCBs > COPCBs > TVPCBs > CPCBs. Accordingly, FPCBs and COPCBs were determined as the high value E-wastes for metal recovery. In addition, Cu, Ag and Sn respectively were found to be the most economic basic metals that should be recovered from most PCBs. Finally, pH analysis of the samples demonstrated that E-waste alkalinity is due to the presence of alkaline metals not plastics.

Selective recovery of valuable metals from crushed electronic waste

This research was carried out to recover valuable metals from the electronic waste (e-waste). E-waste samples were crushed and thermally activated under 450 °C within 1 hour. The optimal temperature of the thermal treatment, at which all organic phases are removed and metal’s forms turned into oxides was determined. Leaching of thermally activated material using EDTA at room temperature, pH 7 for 1 hour resulted in greater than 95 % extraction of lead. Non-ferrous metals were extracted at 85 °C with a leaching solution of 2 M H2SO4 which resulted in recovery of more than 98 % of copper within 3 hours.

Highly sensitive and selective fluorescent sensor for tetrabromobisphenol-A in electronic waste samples using molecularly imprinted polymer coated quantum dots

In this study, an optosensing composite was fabricated by coating a molecularly imprinted polymer (MIP) layer onto CdTe quantum dots (MIP-QDs) to develop a fluorescent sensor for the determination of tetrabromobisphenol-A (TBBPA). The resulting MIP-QDs composite was well characterized and had ideal properties of morphology and photoluminescence. Under the optimized experiment conditions, this fluorescent sensor exhibited a good linearity with TBBPA covering the concentration range of 1.0–60.0 ng/mL and the detection limit was as low as 3.6 ng/g. This developed MIP-QDs sensor was successfully employed to detect TBBPA in electronic waste (e-waste) samples for the first time. The mean recoveries were in the range from 89.6% to 107.9% with the relative standard deviation below 6.2%, which were in accordance with the results of HPLC-UV method. The average concentration of TBBPA in electric fan and circuit board samples were 260.20 and 707.30 mg/kg, respectively. This study provided a simple, rapid, highly sensitive and selective method to detect TBBPA in e-waste samples.

Electrochemical sensor based on electropolymerized dopamine molecularly imprinted film for tetrabromobisphenol A

This work reported the simple and direct detection of 3,3′,5,5′‑tetrabromobisphenol A (TBBPA) by a polydopamine imprinted electrochemical sensor. The imprinted film was directly prepared by electropolymerization of dopamine on a glassy carbon electrode in the presence of template molecule, and then characterized using electrochemical probe of potassium ferricyanide, scanning electron microscopy and atomic force microscopy. It was found that the obtained sensing film greatly enhanced the oxidation signals of TBBPA due to strong accumulation ability. The influences of electropolymerization conditions (e.g. template concentration, scan cycles and scan rates), accumulation time and pH value were studied. The developed sensing platform exhibited good reproducibility, excellent sensitivity and selectivity, offering a low detection limit (0.27 nM) and a linear range from 1 to 50 nM. It was applied for TBBPA detection in plastic e-waste samples, and the results were consistent with those obtained by high-performance liquid chromatography.

Characterization of brominated flame retardants from e-waste components in China

Many studies show that high levels of many toxic metals and persistent and bio-accumulative chemicals have been found in electronic waste (e-waste) dismantling sites and their surrounding environmental media. Both flame-retardant plastic housing materials and printed circuit boards (PCBs) could be the major contributors. However, relatively little work has focused on the use or content of toxic substances and their changing in scrap housing materials and PCBs from home appliances. This study evaluated the existence of brominated flame retardants (BFRs, including polybrominated diphenyl ethers (PBDEs) and Tetrabromobisphenol-A (TBBPA)) in housing plastics and PCBs from home appliances collected from various e-waste recyclers in China. These were then analyzed for the potential migration of BFRs from the e-waste components into their recycled products. The results show that both PBDEs and TBBPA were found with high level in most of e-waste samples, indicating that the widespread use of BFRs in home appliances are entering into the end-of-life stage. For the plastics samples, CRT TVs and LCD monitors should be given priority for the control of BFRs. Regarding PBDEs, the dominant congeners of BDE-209 in the plastics samples contributed 90.72–93.54% to the total concentrations of PBDEs, yet there are large variations for PCBs samples: BDE-28, -47, -99, and -153 were also important congeners compositions, except for BDE-209. Compared with previous studies, the BFRs concentrations in current Chinese e-waste are trending to decline. This study also found that BFRs in housing plastics and PCBs will be transferred into the recycled products with other purpose use, and the new products could have highly enriched capacities for BFRs. The obtained results could be helpful to manage e-waste and their components properly in order to minimize associated environmental and health risks of BFRs, particularly for their further reuse.

E-waste Management and Refurbishment Prediction (EMARP) Model for Refurbishment Industries

This paper proposes a novel algorithm for establishing a standard methodology to manage and refurbish e-waste called E-waste Management And Refurbishment Prediction (EMARP), which can be adapted by refurbishing industries in order to improve their performance. Waste management, particularly, e-waste management is a serious issue nowadays. Computerization has been into waste management in different ways. Much of the computerization has happened in planning the waste collection, recycling and disposal process and also managing documents and reports related to waste management. This paper proposes a computerized model to make predictions for e-waste refurbishment. All possibilities for reusing the common components among the collected e-waste samples are predicted, thus minimizing the wastage. Simulation of the model has been done to analyse the accuracy in the predictions made by the system. The model can be scaled to accommodate the real-world scenario.

Electrochemical enhancement of long alkyl-chained surfactants for sensitive determination of tetrabromobisphenol A

Three types of hydrophobic surfactants with one, two and three C18-alkyl chains, including octadecyltrimethylammonium bromide (OTMA), dioctadecyldimethylammonium bromide (DODMA) and trioctadecylmethylammonium bromide (TOMA), were used to construct sensing films for tetrabromobisphenol A (TBBPA). In pH 4.6 acetate buffer, an oxidation peak with low height is observed for TBBPA on the surface of glassy carbon electrode (GCE), and the oxidation wave increases greatly on the surfactant film-modified GCEs. Surface morphology analysis reveals that the modification of surfactants on GCE increases the surface roughness and introduces three-dimensional structures. Experiments of electrochemical impedance spectroscopy and chronocoulometry indicate that the electron transfer ability and accumulation efficiency of TBBPA enhance effectively on the surface of surfactant films. Moreover, the signal enhancement ability of surfactant films is heavily dependent on the molecular structures, and DODMA film is more active for the oxidation of TBBPA. As a result, a sensitive and simple electrochemical sensing platform was developed for TBBPA. The linear range is from 1.0 to 500μgL−1, and the detection limit is 0.57μgL−1 (1.05nM). This new sensing system has been used to detect TBBPA in e-waste samples, and the results consist with the values that obtained by high-performance liquid chromatography.

Method for the production of acrylonitrile–butadiene–styrene (ABS) and polycarbonate (PC)/ABS standards for direct Sb determination in plastics from e-waste using laser-induced breakdown spectroscopy

A procedure for direct Sb determination in solid e-waste samples using ABS and PC/ABS standards containing Sb2O3 is shown. Sb can be used to confirm the presence of PBDEs.

Multi-objective optimization of heavy metals bioleaching from discarded mobile phone PCBs: Simultaneous Cu and Ni recovery using Acidithiobacillus ferrooxidans

The present study examined bioleaching of heavy metals from mobile phone printed circuit boards (MPPCBs) using adapted Acidithiobacillus ferrooxidans. The adaptation phase (10% v/v inoculum) began with 1g PCB powder per 1L culture medium and continued for 55days to a level of 20g PCB powder per 1L medium. The factors that examined for metal bioleaching were initial pH, initial Fe3+ concentration, pulp density and particle size. To maximize simultaneous extraction of Cu and Ni from MPPCBs, these factors were optimized under a multi-objective optimization strategy using the central composite design of response surface methodology. Two modified quadratic models were selected to predict the interactions and behavior of the influence parameters on the bioleaching of Cu and Ni from e-waste samples. An initial pH of 1, initial Fe3+ concentration of 4.18g/l, pulp density of 8.5g/l and particle size of 114.02μm (#100mesh) were determined as the optimal conditions. Under these conditions, 100% extraction of Cu and Ni was achieved. The pH, Eh, bacterial count, and Fe3+ concentration were varied over time and measured under optimal conditions.

Effect of electronic waste on E. coli genomic integrity: a possible role for metal induced carcinogenesis

Electronic waste (e-waste) poses a major public health threat for developing countries’ populations. The hazards of e-waste are exacerbated by crude recycling methods. In this study, the presence of metals in e-waste samples obtained from Lagos, Nigeria, was assessed using atomic absorption spectrometry. The effect of e-waste on Escherichia coli (E. coli) PQ-37 genomic integrity was evaluated using the SOS chromotest. The means of metal concentrations in the evaluated samples were 16 (cadmium), 7.3 (nickel), 11 (chromium), 20 (lead), 3100 (iron), 90 (zinc), and 2000 (copper) μg_L−1. Damage to E. coli deoxyribonucleic acid (DNA) increased proportionally to the metal concentrations. Significant amounts of DNA damaging agents from inadequately processed e-waste are present in the studied environment, which will have implications for adverse effects on public and ecological health. Existing policies against dumping of toxic materials in susceptible communities should be enforced.

Recovery of copper(II) through polymer inclusion membrane with di (2-ethylhexyl) phosphoric acid as carrier from e-waste

Abstract In this study, permeation of copper ions through polymer inclusion membrane (PIM) containing di (2-ethylhexyl) phosphoric acid (D2EHPA) as carrier, cellulose triacetate (CTA) as polymer and di-octyl phthalate (DOP) as plasticizer has been investigated. The effects of Cu(II) in feed phase, H 2 SO 4 in strip phase and D2EHPA (in membrane) concentrations on the transport were investigated. D2EHPA concentration varied from 0.6×10 –2 to 6×10 –2 mol/L and it was found that the transport of Cu(II) increased with the carrier concentration up to 4.8×10 –2 mol/L. High Cu(II) concentration in the feed phase leads to an increase in flux from 0.53×10 –6 to 4.48×10 –6 mol/(m 2 s) within the Cu(II) concentration range 0.79×10 –4 mol/L–31.47×10 –4 mol/L at pH of 4.5. Increase in H 2 SO 4 concentration in strip solution leads to an increase in copper ions flux. Studies on the transport kinetics of Cu(II) ions and the stability of the membranes were also carried out. The developed methodology was applied for digested e-waste samples and found to be successful for the recovery of Cu(II).

High-temperature low-cycle fatigue behavior of a nimonic PE-16 superalloy — correlation with deformation and fracture: Valsan, M., Parameswaran, P., Rao, K.B.S., Vijayalakshmi, M., Mannah, S.L. and Shastry, D. H. Metall. Trans. A June 1992 23A (6) 1751–1761

This paper proposes a novel algorithm for establishing a standard methodology to manage and refurbish e-waste called E-waste Management And Refurbishment Prediction (EMARP), which can be adapted by refurbishing industries in order to improve their performance. Waste management, particularly, e-waste management is a serious issue nowadays. Computerization has been into waste management in different ways. Much of the computerization has happened in planning the waste collection, recycling and disposal process and also managing documents and reports related to waste management. This paper proposes a computerized model to make predictions for e-waste refurbishment. All possibilities for reusing the common components among the collected e-waste samples are predicted, thus minimizing the wastage. Simulation of the model has been done to analyse the accuracy in the predictions made by the system. The model can be scaled to accommodate the real-world scenario.